The Braitenberg vehicle as a simple conceptual model to characterize the response behaviors of animals or insects under a stimulus is widely used to develop autonomous vehicles able to adapt to the varying environments. Considerable effort has been devoted to building neuromorphic processors with the software in the vehicles; however, there has been no demonstration of Braitenberg vehicle with neuromorphic hardware so far. Herein, a Braitenberg vehicle with simple memristive neuromorphic circuits is built for the first time. This vehicle exhibits adaptive behaviors in the supervised learning process and is eventually trained to conduct the task of tracking path. Moreover, the memristive circuit in the vehicle demonstrates a very short response latency (≈56 ns) to input sensory information. Herein, an alternative promising solution to build self‐adaptive robots and pave the way for the realization of autonomous robots based on memristive neuromorphic circuits is offered.

Cong Wang

Zaizheng Yang

Shuang Wang

Pengfei Wang

Chen-Yu Wang

Chen Pan

Bin Cheng

Shi-Jun Liang

Feng Miao

Advanced Intelligent Systems

A Braitenberg Vehicle Based on Memristive Neuromorphic Circuits

An alternative promising solution to build self‐adaptive robots and pave the way for the realization of autonomous robots based on memristive neuromorphic circuits is offered.

基于忆阻神经形态电路的Braitenberg车辆

Category	Quartile
计算机科学	3
计算机科学, 自动化与控制系统	3
计算机科学, 计算机人工智能	3
计算机科学, 机器人学	3

A Braitenberg Vehicle Based on Memristive Neuromorphic Circuits

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